A Snakemake workflow to process single samples or cohorts of Illumina paired-end sequencing data (WGS or WES) using trim galore/bwa/GATK4/parabricks.

A fully interactive data storytelling dashboard for e-commerce analytics. Built with Python, Streamlit, and Plotly, it transforms transactional data into actionable insights through KPIs, cohort retention, RFM segmentation, and global visualizations, perfect for analysts and data scientists.

NHC: A computational approach to detect physiological homogeneity in the midst of genetic heterogeneity

The fastest way to make sense of a transaction log.

🫀 Webapp to explore cohorts metadata for the iCARE4CVD project

cohorts.py makes generating cohort analysis from raw data a magical experience

Return on Investment is an out of the box python package for maketing analytics. The first release focuses on cohort analysis. The plan is to slowly include more analysis, as the package grows.

Autoregression model for predicting results on metrics and Cohort analysis.

A Python package for calculating and visualizing cohort retention and other cohort-based metrics with interactive Plotly charts.

End-to-end Customer Lifetime Value (CLV) Prediction & Retention Analytics System built with Python, XGBoost, and Streamlit — includes RFM segmentation, cohort analysis, persona insights, model monitoring, drift detection, logs analytics, and automated executive summary reporting.

A complete ETL solution with a PostgreSQL database, enabling calculation of key business metrics (KPI) such as revenue, ARPU, LTV, churn, retention, and cohort analysis.

SQL-based business analytics on the Online Retail II dataset, answering core customer, revenue, retention, and product performance questions.

Executive product analytics case study diagnosing why efficient SaaS growth breaks without retention durability, and why Enterprise-led strategy outperforms volume-led acquisition.

Caso de Marketing — cohortes, LTV y retención con Python + SQL (modelo analítico y KPIs).

Executive-grade E-Commerce Customer Intelligence dashboard delivering insights on customer value, cohort retention, churn intelligence, and growth strategy.

"AscentPAY" product analytics case study for a fintech digital wallet analyzing activation, retention, LTV, CAC payback, and revenue concentration using SQL, Python, and Tableau.

Cohort Analysis is a data analytical approach utilized to glean insights into the behaviors and characteristics of specific user or customer groups over time

Repositório com um script em Python para gerar bases de dados simuladas (Excel) para análises de cohort em SaaS, facilitando o estudo de retenção e churn de clientes.

An analytics project that combines Google Ads + Meta Ads data and translates it into finance metrics.

Python code that predicts which course a student will register for based on their previous registration history.